Month: December 2017

PECULIARITIES OF SOCIAL PSYCHOLOGIKAL AND ECONOMIC ADAPTATION OF PUPILS FROM THE MIGRANTE FAMILIES IN THE CITY OF KRASNOYARSK IN SIBERIAN REGION

Tatiana PETROVNA GRASS

Candidate of pedagogical science, an associate professor; Krasnoyarsk pedagogical university named after V.P. Astafiev – 89-Ada Lebedeva Str., Krasnoyarsk,660049

Vladimir INNOKENTIEVICH PETRISHCHEV

doctor of pedagogical sciences, professor; Krasnoyarsk pedagogical university named after V.P. Astafiev – 89-Ada Lebedeva Str., Krasnoyarsk, 660049

Natalia OLEGOVNA LEFLER

candidate of philological sciences, an associate professor; Krasnoyarsk pedagogical university named after V.P. Astafiev – 89-Ada Lebedeva Str., Krasnoyarsk, 660049

Abstract

The paper considers the peculiarities in social psychological and economic adaptation of pupils in Siberian region. Sociocultural and psychological adaptation of the migrant pupils is analyzed, the positive attitude of the aboriginal pupils and the authorities is identified. The most relevant results of the research connected with the migrant pupils integration into a new society being a complex comprehensive process with both the internal psychological mechanisms and child’s potential and external mechanisms connected with its interaction with a number of social institutes are described.

Keywords: migrant pupils, school, teacher, adaptation
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REGIONAL EMPLOYMENT IN PORTUGAL: DIFFERENCES AND CYCLICAL SYNCHRONISATION

Leonida CORREIA

Assistant Professor Department of Economy, Sociology and Management (DESG), Centre for Transdisciplinary Development Studies (CETRAD), University of Trás-os-Montes and Alto Douro (UTAD) Quinta de Prados, 5000-801 Vila Real, Portugal. Tel: +351 259 350699;

lcorreia@utad.pt

Marina ALVES

Master’s degree in Economic and Management Sciences in UTAD

alves2_marina@hotmail.com

Abstract

This paper analyses the specificities of employment in Portuguese regions at a disaggregated level of NUTS III, comparing the differences of several indicators between the last two censuses. It also examines the synchronisation of regional employment cycles over the 2000-2014 period, using the information provided for the new nomenclature of NUTS. The comparison of several employment’s characteristics (total and by sex, age group, sector of activity and main occupation) across the 7 regions and 25 sub-regions allowed us to conclude that Portugal is marked by substantial regional specificities. The analysis of the evolution of employment ‘cycles highlight the substantial reduction in the employment rate since the beginning of the 2000s, with particular intensity in the period of the recent crisis, and considerable differences across regions and at the intraregional level. The results from the synchronisation reveal a great heterogeneity in the degree of correlation between the sub-national cycles and the national cycle. Additionally, they suggest that, in general, the cyclical pattern of the sub-regions is more closely related to the regions that they belong to than that of the Portuguese cycle. The paper concludes that this heterogeneity should be addressed in the context of policy making, by means to construct appropriate responses to counteract the regional differences.

Keywords: employment, disparities, cycles, Portuguese regions

JEL classification: E32, J21, R11, R12

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ESTIMATION OF FACTORS FOR SOCIAL AND ECONOMIC INEQUALITY OF RUSSIA’S TOWNS

Inna  MANAEVA

World Economy Chair –Belgorod State National Research University, Russia, http://www.bsu.edu.ru,

In.manaeva@yandex.ru

Alexandra  KANISHTEVA

World Economy Chair –Belgorod State National Research University, Russia, http://www.bsu.edu.ru,

lack_shadow13@mail.ru

Abstract

At the present-day stage of economics development the issue of productive power arrangement over the Russia’s territory is being intensively researched due to ever growing differentiation of social and economic state of towns. The goal is to identify factors and estimate their impact on the social and economic inequality of Russia’s towns. The key factors under consideration include the size of engaged population, investment in a town budget, population density, density of hard-surface roads, distance along motor roads to the town center.  The factor model is constructed by a least-square method. The authors made use of the data from the Federal State Statistics Service as of 2003, 2009, 2014, the research covered the populated areas having a town status with the population size over 100 thous. people. It has been proven empirically that positive impact on the social and economic inequality of Russia’s towns is the most significant from volume of investments in a town budget and level of transport infrastructure development. Such factor as geographic arrangement of the towns has a noticeable negative influence on the social and economic inequality of towns. However, in the Siberian Federal district,  a factor of distance along motor roads to the nearest major town correlates with the industrial output, thus demonstrating that trade in the towns of this Federal District is aimed at the foreign market.  In Southern, North Caucasian, Ural, Siberian and Far Eastern Federal Districts the inflow of labor resources to a town exceeds demand thereof, thus confirming migration of engaged population to big towns. Research outcomes may be utilized in creation of procedural aids for development of mechanisms to level out interregional inequalities, social and economic development programs of a town.

Keywords: town, social and economic inequality, inequality factors, interregional differentiation, production output, engaged population, investment, salary, density population, least-square method.

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